Applied Statistics and Machine Learning for the Advancement of Surgery: Opportunities for Surgeons to Utilize Big Data, Machine Learning, and Artificial Intelligence
Surgeons, advanced practice providers, fellows, residents, and medical students in various surgical specialties and subspecialties need to receive regular updates on advances in surgical care and clinical practices. Novel technologies and procedures will be examined as means to improve the diagnosis and treatment of medical conditions requiring surgical intervention. The series aims to expand the knowledge of learners, enhance surgical skills, increase surgical efficiency, disseminate surgical best practices, and improve surgical outcomes.
Physicians, medical students, fellows, and residents.
At the conclusion of the session, the participants should be able to:
Discuss defining big data, machine learning, and artificial intelligence (AI).
Summarize how machine learning can be applied to address surgical questions.
Recognize the potential AI has in helping transform surgery.
Baylor College of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Baylor College of Medicine designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
- 1.00 AMA PRA Category 1 Credit™
- 1.00 Participation
Thank you for reviewing this Baylor College of Medicine on-demand activity. In order to complete the evaluation and claim credit for your participation, please select the appropriate payment option above. After payment has been completed, you will receive an email confirmation and receipt.
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